Chaire Modélisation Mathématique et Biodiversité

École Polytechnique, Muséum national d'Histoire naturelle
Fondation de l'École Polytechnique
VEOLIA Environnement

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  1. Abakarova M., Marquet C., Rera M., Rost B., Laine E., 2022. Alignment-based protein mutational landscape prediction: doing more with less. Preprint
  2. Benaïm, M., Champagnat, N., Oçafrain, W. and Viillemonais, D. Quasi-compactness criterion for strong Feller kernels with applications to quasi-stationary distributions.
  3. Benaïm, M., Champagnat, N., Oçafrain, W. and Viillemonais, D. Degenerate processes killed at the boundary of a domain.
  4. Boutin M, Costa M, Fontaine C, Perrard A, Llaurens V. Influence of sex-limited mimicry on extinction risk in Aculeata: a theoretical approach. Under review in PCI evolutionary bioogy.
  5. Champagnat, N., Méléard, S., Mirrahimi, S. and Tran, V.C. Filling the gap between individual-based evolutionary models and Hamilton-Jacobi equations.
  6. Champagnat, N. and Hass, V. Existence, uniqueness and ergodicitiy for the centered Fleming-Viot process.
  7. Champagnat, N. and Villemonais, D. Quasi-stationary distributions in reducible state spaces.
  8. Maisonneuve L, Elias M, Smadi C, Llaurens V, 2023 The limits of evolutionary convergence in sympatry: reproductive interference and developmental constraints leading to local diversity in aposematic signals, American Naturalist, in press
  9. Roget T., Jolivet P., Méléard S. and Rera M., 2022. Positive selection of senescence through increased evolvability: ageing is not a by-product of evolution. Preprint
  10. Zane F., Bouzid H., Marmol S.S., Besse S., Molina J.L.,Cansell C., Aprahamian F., Durand S., Ayache J., Antoniewski C., Rera M., 2022. Smurfness-based two-phase model of ageing helps deconvolve the ageing transcriptional signature. Preprint


  1. Coron C., Costa M., Leman H., Llaurens V., Smadi C.. Origin and persistence of polymorphism in loci targeted by disassortative preference: a general model. J. Math. Biol. 86, 4 (2023). DOI:
  2. Durand‐Bessart, C., Cordeiro, N. J., Chapman, C. A., Abernethy, K., Forget, P. M., Fontaine, C., & Bretagnolle, F. (2023). Trait matching and sampling effort shape the structure of the frugivory network in Afrotropical forests. New Phytologist, 237(4), 1446-1462
  3. Goncalves, B., Huillet, T., Löcherbach E. On decay-surge population models. arXiv:2012.00716. On line first Dec. 2022, to appear in Advances in Applied Probability, 55.2, 2023.


  1. Abraham R., and Delmas, J.-F. and Nassif M., (2022). Global regime for general additive functionals of conditionned Bienaymé-Galton-Watson trees. Probab. Theor. Rel. Fields, Vol. 182, pp. 277-351. doi:10.1007/s00440-021-01095-9.
  2. Aubry, P., 2022. On evaluating the efficiency of the delta-lognormal mean estimator and predictor. MethodsX 9, 101830.
  3. Aubry, P., Francesiaz, C., 2022. On comparing design-based estimation versus model-based prediction to assess the abundance of biological populations. Ecological Indicators 144, 109394.
  4. Bansaye V., Cloez B., Gabriel P., Marguet A., (2022). A non-conservative Harris ergodic theorem. Journal of the London Mathematical Society, 106, 2459-2510. doi:
  5. Bastide, P., Mariadassou, M., & Robin, S. (2022). Modèles d’évolution de caractères continus. Dans : Didier, G., & Guindon, S. (2022). Modèles et méthodes pour l’évolution biologique. ISTE Group. (Version anglaise à paraître chez le même éditeur)
  6. Benaïm, M., Champagnat, N., Oçafrain, W. and Viillemonais, D. Transcritical, (2022). Bifurcation for the conditional distribution of diffusion process. Journal of Theoretical Probability. Doi: 10.1007/s10959-022-01216-7
  7. Billiard S., Leman H., Rey T., Tran V.C., (2022). Continuous limits of large plant-pollinator random networks and some applications. MathematicS In Action (2022).
  8. Bitseki Penda S. V. and Delmas, J.-F. (2022). Central limit theorem for kernel estimator of invariant density in bifurcating Markov chains models. J. of Theo. Probab. doi:10.1007/s10959-022-01205-w.
  9. Bitseki Penda S. V., and Delmas, J.-F., (2022). Central limit theorem for bifurcating Markov chains under pointwise ergodic conditions. Ann. Appl. Probab., Vol 32(5), pp. 3817-3849. doi:10.1214/21-AAP1774.
  10. Calvez, V., Henry, B., Méléard, S. and Tran, V.C., (2022). Dynamics of lineages in adaptation to a gradual environmental change, Ann. H. Lebesgue 5, 729–777.
  11. Champagnat, N., Méléard, S., Tran, V.C., (2022). Multiscale eco-evolutionary models: from individuals to populations, ICM2022, International Mathematical Union, published by EMS Press. DOI 10.4171/ICM2022/24 
  12. Chiquet, J., Cros, M. J., Mariadassou, M., Peyrard, N., & Robin, S. (2022). Le modèle Poisson log-normal pour l’analyse de distributions jointes d’abondance. Approches statistiques pour les variables cachées en écologie, 175. Dans : Peyrard, N., & Gimenez, O. (2022). Approches statistiques pour les variables cachées en écologie. ISTE Group. (Version anglaise: Statistical Approaches for Hidden Variables in Ecology, chez le même éditeur
  13. Cohen, J. E., Huillet, T. E., (2022). Taylor's law for some infinitely divisible probability distributions from population models. J. Stat. Phys., 188, no. 3, Paper No. 33, 17 pp. 60E07 (92D25)
  14. Cordelier P, Costa M, Fehrenbach J., (2022). Slow-Fast Model and Therapy Optimization for Oncolytic Treatment of Tumors. Bull Math Biol. 84(6):64. doi: 10.1007/s11538-022-01025-3.
  15. Coron, C., Costa, M., Leman, H., Llaurens, V., Smadi, C., (2022). Origin and persistence of polymorphism in loci targeted by disassortative preference: a general model. J. Math. Biol. 86, 4.
  16. Czuppon P., Billiard S. Revisiting the number of self-incompatibility alleles in finite populations: From old models to new results. Journal of Evolutionary Biology 35:1296-1308 (2022).  DOI: 10.1111/jeb.14061
  17. David O., Le Rouzic A., Dillmann C., (2022). Optimization of sampling designs for pedigrees and association studies. Biometrics 78, 3. DOI :
  18. Delmas, J.-F. and Dronnier, D. and Zitt, P.-A., (2022). An infinite-dimensional metapopulation SIS model. Journ. Differential Equations, Vol. 313, pp. 1-53.
  19. Erny, X., Löcherbach, E., Loukianova, D., (2022). Mean field limits for Hawkes processes in a diffusive regime, Bernoulli 28 (1) 125 - 149. DOI:
  20. Erny, X., (2022). Well-posedness and propagation of chaos for McKean-Vlasov equations with jumps and locally Lipschitz coefficients, Stochastic Processes and their Appications 150 92 - 214. DOI:
  21. Erny, X., Löcherbach, E., Loukianova, D., (2022). White-noise driven conditional McKean-Vlasov limits for systems of particles with simultaneous and random jumps, Probability Theory and Related Fields. DOI:
  22. Erny X., (2022). Mean field system of a two-layers neural model in a diffusive regime, Mathematical Neuroscience and Applications August 25. DOI:
  23. Evans, L. C., Melero, Y., Schmucki, R., Boersch‐Supan, P. H., Brotons, L., Fontaine, C., ... & Oliver, T. H. (2022). Bioclimatic context of species' populations determines community stability. Global Ecology and Biogeography, 31(8), 1542-1555.
  24. Goncalves, B., Huillet, T., Löcherbach E., (2022). On decay-surge population models. to appear in Advances in Applied Probability, 55.2. arXiv:2012.00716
  25. Goncalves, B., Huillet, T. E., (2022). Keeping random walks safe from extinction and overpopulation in the presence of life-taking disasters. Math. Popul. Stud. 29, no. 3, 128–157. 92D15 (60J10 92D25)
  26. Goncalves, B., Huillet, T., Löcherbach, E., (2022). On population growth with catastrophes. Stoch. Models 38, no. 2, 214–249. 60J25 (60H10 92D25)
  27. Hoang, V. H., Ngoc, T. M. P., Rivoirard, V., Tran, V. C., (2022). Nonparametric estimation of the fragmentation kernel based on a PDE stationary distribution approximation, Scandinavian Journal of Statistics 49(1):4-43.
  28. Huillet, T. E.; (2022). Chance Mechanisms Involving Sibuya Distribution and its Relatives. Sankhya B 84 , no. 2, 722–764.
  29. Huillet, T.; Möhle, M., (2022). Asymptotic genealogies for a class of generalized Wright-Fisher models. Mod. Stoch. Theory Appl. 9, no. 1, 17–43. 60J90 (26A12 92D15)
  30. Huillet, T.; Martinez, S., (2022). Revisiting John Lamperti's maximal branching process. Stochastics, 94, no. 2, 277–310. 60J80
  31. Jay P., Tezenas E., Véber A., Giraud, T. (2022). Sheltering of deleterious mutations explains the stepwise extension of recombination suppression on sex chromosomes and other supergenes. PLoS Biology, 20(7): e3001698. DOI:
  32. Jollant, F., Blanc-Brisset, I., Cellier, M., Akkaoui M. A., Tran, V. C., Hamel, J.F., Piot, M. A., Nourredine, M., Nisse, P., the French Poison Center Control Research Group, Hawton, K., Descatha, A., and Vodovar, D., Temporal trends in calls for suicide attempts to poison control centers in France during the COVID-19 pandemic : a nationwide study, European Journal of Epidemiology 37:901-913 (2022).
  33. Léculier, A., and Mirrahimi, S., (2022). Adaptation to a heterogeneous patchy environment with nonlocal dispersion, Annales de l'Institut Henri Poincare (C) Analyse Non Linéaire. DOI:
  34. Louvet, A., (2022). Extinction threshold and large population limit of a plant metapopulation model with recurrent extinction events and a seed bank component. Theoretical Population Biology, 145. DOI :
  35. Mirrahimi, S. and Dekens, L., (2022). Dynamics of Dirac concentrations in the evolution of quantitative alleles with sexual reproduction, Nonlinearity. DOI:
  36. Maïda, M., Nguyen, T. D., Ngoc, T. M. P., Rivoirard, V., Tran, V.C., (2022). Statistical deconvolution of the free Fokker-Planck equation at fixed time, Bernoulli 28(2):771-802.
  37. Maisonneuve L., Smadi C., Llaurens V., (2022). Evolutionary origins of sexual dimorphism: Lessons from female-limited mimicry in butterflies, Evolution, 76(10): 2404-2423
  38. Morlon, H., Robin, S., & Hartig, F. (2022). Studying speciation and extinction dynamics from phylogenies: addressing identifiability issues. Trends in Ecology & Evolution.
  39. Ouadah, S., Latouche, P., & Robin, S. (2022). Motif-based tests for bipartite networks. Electronic Journal of Statistics, 16(1), 293-330.
  40. Popovic L., Véber A. (2022). A spatial measure-valued model for chemical reaction networks in heterogeneous systems Ann. Applied Probab.
  41. Sculfort O., Maisonneuve L., Elias M., Aubier T., Llaurens V., (2022). Evolution of conspicuousness in defended species involved in Müllerian mimicry, Oikos, 2022: e08680
  42. Tomasevic M., Bansaye V., Véber A., (2022). Ergodic behaviour of a multi-type growth-fragmentation process modelling the mycelial network of a filamentous fungus. ESAIM: Probability & Statistics, 26 : 397-435. DOI: 
  43. Voinson M., Smadi C., Billiard S., (2022). How does the host community structure affect the epidemiological dynamics of emerging infectious diseases? Ecological Modelling, 472, 110092. DOI : 10.1016/j.ecolmodel.2022.110092


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  2. Abraham, R.; Delmas, J.F., (2021). Exact simulation of the genealogical tree for a stationary branching population and application to the asymptotics of its total length. Adv. in Appl. Probab. 53, no. 2, 537–574. DOI :
  3. Aubert, J., Schbath, S., & Robin, S. (2021). Model-based biclustering for overdispersed count data with application in microbial ecology. Methods in Ecology and Evolution, 12(6), 1050-1061. DOI :
  4. Aubry, P. (2021). On the correct implementation of the Hanurav-Vijayan selection procedure for unequal probability sampling without replacement. Communications in Statistics - Simulation and Computation (2021). DOI :
  5. Aubry, P. (2021). On the non-recursive implementation of multistage sampling without replacement. MethodsX 8:101553 (2021). DOI :
  6. Bansaye, V., Pardo, J.C., Smadi, C., (2021). Extinction rate of continuous state branching processes in critical Lévy environments. ESAIM Proba Stat-25, 346-375, (2021). DOI :
  7. Benaïm, M., Champagnat, N., Villemonais, D. (2021). Stochastic approximation of quasi-stationary distributions for diffusion processes in a bounded domain. Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, vol. 57, no. 2, pp. 726-739. DOI :
  8. Berthelot, G., Saïd, S., Bansaye, V. (2021). A random walk model that accounts for space occupation and movements of a large herbivore. Scientific Reports, 11. DOI :
  9. Bonnet, C., Gou, P., Girel, S., Bansaye, V., Lacout, C., Bailly, K., Schlagetter, M.H., Lauret E., Méléard, S., Giraudier S., (2021). Multistage hematopoietic stem cell regulation in the mouse: a combined biological and mathematical approach, iScience; 24 (12):103399. Open access. DOI :
  10. Bonnet, C., Méléard, S., (2021), Large fluctuations in multi-scale modeling for rest erythropoiesis. J.Math. Biol. 82, no. 6, Paper No. 58. DOI :
  11. Coquille C., Kraut A., Smadi C.,(2021). Stochastic individual-based models with power law mutation rate on a general finite trait space, Electronic Journal of Probability, 26, 123. DOI :
  12. Costa, M., Etchegaray, C., and Mirrahimi, S., (2021). Survival criterion for a population subject to selection and mutations; Application to temporally piecewise constant environments, Nonlinear Analysis: Real World Applications. DOI :
  13. Champagnat, N., Méléard, S., Tran V.C., (2021). Stochastic analysis of emergence of evolutionary cyclic behavior in population dynamics with transfer, Annals of Applied Probability 31, no. 4, 1820-1867. DOI :
  14. Champagnat, N., Villemonais, D. Lyapunov (2021). Criteria for uniform convergence of conditional distributions of absorbed Markov processes. Stochastic Processes and their Applications, vol. 135, pp. 51-74. DOI :
  15. Chiquet, J., Mariadassou, M., & Robin, S. (2021). The Poisson-lognormal model as a versatile framework for the joint analysis of species abundances. Frontiers in Ecology and Evolution, 9, 188. DOI :
  16. Coron, C., Costa, M., Laroche, F., Leman, H., and Smadi, C., (2021). Emergence of homogamy in a two-loci stochastic population model, ALEA, Lat. Am. J. Probab. Math. Stat., 18:469-508, DOI :
  17. Coste, C. F.D.; Bienvenu, F.; Ronget, V.; Ramirez-Loza, J.P.; Cubaynes, S.; Pavard, S.; (2021). The kinship matrix: inferring the kinship structure of a population from its demography, Ecology Letters. DOI :
  18. Engen, S.; Grøtan, V.; Sæther, B.E.; Coste, C.F.D.; (2021). An evolutionary and ecological community model for distribution of phenotypes and abundances among competing species. The American Naturalist. DOI :
  19. Facon, B., Hafsi, A., Charlery, M., Robin, S., Massol, F., Dubart, M., ... & Ravigné, V. (2021). Joint species distributions reveal the combined effects of host plants, abiotic factors and species competition as drivers of species abundances in fruit flies. bioRxiv, 2020-12. DOI :
  20. Figueroa Iglesias, S., and Mirrahimi, S., (2021). Selection and mutation in a shifting and fluctuating environment, Comm. Math. Sci. DOI :
  21. Forien, R., Pang, G., et Pardoux, E., (2021). Estimating the state of the Covid-19 epidemic in France using a non-Markovian model, Royal Society Open Science 8: 202327. DOI :
  22. Forien, R., Pang, G., et Pardoux, E., (2021). Epidemic models with varying infectivity, SIAM J. Applied Math. 81, pp. 1893-1930. DOI :
  23. Fouqueau L. & Roze D., (2021). The evolution of sex along an environmental gradient. Evolution 75:1334-1347. DOI :
  24. Fritsch, C., Champagnat, N., Billiard, S. (2021). Identifying conversion efficiency as a key mechanism underlying food webs evolution: A step forward, or backward? OIKOS vol. 130, no. 6, pp. 904-930. DOI :
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  27. Graham C. (2021). Regenerative properties of the linear Hawkes process with unbounded memory. Annals of Applied Probability. 31 (6) 2844–2863. DOI :
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  30. Jenouvrier, S.; Long, M.C.; Coste, C. F.D.; Holland, M.; Gamelon, M.; Yoccoz, N. G; Sæther, B.E.; (2021). Detecting climate signals in populations across life histories. Global change biology. DOI :
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  1. Abs E., Leman H., Ferrière R. A multi-scale eco-evolutionary model of cooperation reveals how microbial adaptation influences soil decomposition. Communications Biology 3, 520 (2020). DOI :
  2. Bansaye V. , Bitseki Penda V. A Phase Transition for Large Values of Bifurcating Autoregressive Models. Journal of Theoretical Probability. DOI :
  3. Barthe M., Tchouanti-Fotso J., Gomes P., Bideaux C., Lestrade D., Graham C., Steyer J.P., Méléard S., Harmand J., Gorret N., Cocaign-Bousquet M., Enjalbert B., Availability of the molecular switch XylR controls phenotypic heterogeneity and lag duration during Escherichia coli adaptation from glucose to xylose. mBio 11 (6) e02938-20; DOI:
  4. Berardo C., Geritz S., Gyllenberg M., Raoul, G. Interactions between different predator–prey states: a method for the derivation of the functional and numerical response. Journal of mathematical biology, 80, 2431-2468 (2020). DOI :
  5. Billiard S., Smadi C., Stochastic dynamics of three competing clones: Conditions and times for invasion, coexistence and fixation , The American Naturalist. DOI :
  6. Calvez V., Crevat J., Dekens L., Fabrèges B., Kuczma F., Lavigne F., Raoul G. Influence of the mode of reproduction on dispersal evolution during species invasion. ESAIM: Proceedings and Surveys, 67, 120-134 (2020). DOI :
  7. Calvez V., Figueroa Iglesias S., Hivert H., Méléard S., Melnykova A., Nordmann A. Horizontal gene transfer: numerical comparison between stochastic and deterministic approaches, ESAIM Proceedings (CEMRACS 2018)(2020). DOI :
  8. Champagnat N., Villemonais D. Practical criteria for R-positive recurrence of unbounded semigroups, Electronic Communications in Probability 25 (6), 11-11 (2020). DOI :
  9. Chazottes J.-R., Collet P., Martínez S., Méléard S. Quasi-stationary distributions and resilience: what to get from a sample ? Journal de l'École polytechnique — Mathématiques, Tome 7, 943-980 (2020). DOI :
  10. Coron C., Costa M., Laroche F., Leman H., Smadi C. Emergence of homogamy in a two-loci stochastic population model, ALEA.
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  13. Degond P., Herda M., Mirrahimi S., A Fokker-Planck approach to the study of robustness in gene expression, Mathematical Biosciences and Engineering 17 (6), 6459-6486 (2020). DOI :
  14. Diabaté M., Coquille L., Samson A., Parameter estimation and treatment optimization in a stochastic model for immunotherapy of cancer, Journal of Theoretical Biology (2020). DOI :
  15. Diekmann O., Gyllenberg M., Metz J.A.J. Finite dimensional state representation of physiologically structured populations. Journal of Mathematical Biology 80 (1-2): 205-273 (2020). DOI :
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  17. Diekmann O., Gyllenberg M., Metz J.A.J. On models of physiologically structured populations and their reduction to ordinary differential equations. Journal of Mathematical Biology 80 (1-2): 189-204 (2020). DOI :
  18. Dikec J., Olivier A., Bobée C., D'Angelo Y., Catellier R., David P., Filaine F., Herbert S., Lalanne C., Lalucque H., Monasse L., Rieu M., Ruprich-Robert G., Véber A., Chapeland-Leclerc F., Herbert E., Hyphal network whole field imaging allows for accurate estimation of anastomosis rates and branching dynamics of the filamentous fungus Podospora anserina. Scientific Reports 10:3131 (2020). DOI :
  19. Dong C., Smadi C., Vatutin V.A., Critical branching processes in random environment and Cauchy domain of attraction, ALEA, Latin American Journal of Probability and Mathematical Statistics 17, 877-900 (2020). DOI :
  20. Etheridge A., Véber A., Yu F., Rescaling limits of the spatial Lambda-Fleming-Viot process with selection. Electronic Journal of Probability, Institute of Mathematical Statistics (IMS) 25, 1-89 (2020). DOI :
  21. Goncalves B., Huillet T. Scaling features of two special Markov chains involving total disasters. Journal of Statistical Physics 178, pages 499- 531 (2020). DOI :
  22. Gonzalez Casanova A., Smadi C., Multidimensional Lambda-Wright-Fisher processes with general frequency-dependent selection, Journal of Applied Probability 57 (4), 1162-1197 (2020). DOI :
  23. Graham C., Harmand J., Méléard S., Tchouanti J. Bacterial Metabolic Heterogeneity: from Stochastic to Deterministic Models, Mathematical Biosciences and Engineering 17 (5), 5120-5133 (2020). DOI :
  24. Horton E., Kyprianou A.E., Villemonais D. Stochastic methods for the neutron transport equation I: Linear semigroup asymptotics, Annals of Applied Probability 30 (6), 2573-2612, (2020). DOI :
  25. Huillet T. On new mechanisms leading to heavy-tailed distributions related to the ones of Yule-Simon. Indian Journal of Pure and Applied Mathematics, 51, pages 321-344, 2020.
  26. Huillet T. On random population growth punctuated by geometric catastrophic events. Contemporary Mathematics, Volume 1 Issue 5, 469, 2020. DOI :
  27. Huillet T. Statistics of branched populations split into different types. Applications and Applied Mathematics, Vol. 15, Issue 2, pp. 764-800, 2020.
  28. Huillet T., Martinez S. Truncation in Duality and Intertwining Kernels. Markov Processes and Related Fields 26, Issue 3, 423-445, 2020. arXiv:1911.01415.
  29. Ito H., Dieckmann U. & Metz J.A.J. Lotka-Volterra approximations for handling trait substitution processes. Journal of Mathematical Biology 80(7): 2141-2226 (2020). DOI :
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  26. Huillet T., The height of the latest common ancestor of two randomly chosen leaves from a (sub-)critical Galton-Watson tree. Advances in Applied Mathematics.
  27. Lavallée F., Smadi C., Alvarez I., Reineking B., Martin F-M., Dommanget F., Martin S., A stochastic individual based model for the growth of a stand of Japanese knotweed including mowing as a management technique. Ecological Modelling.
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  32. Martin G., Fontaine C., Accatino F., Porcher E., New indices for rapid assessment of pollination services based on crop yield data : France as a case study. Ecological Indicators.
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  28. Huillet T. On Bagchi-Pal urn models and related Pólya-Friedman ones.J. Stat. Mech. 093211, 2017.
  29. Huillet T. Stochastic species abundance models involving special copulas.Physica A. Volume 490, 77-91, 2018.
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  32. Khalifa O., Balandrauid N., Lambert N., Auger I., Roudier J., Sénéchal A., Geneviève D., Picard C., Lefranc G., Touitou I., M'Madi Mrenda B., Benedito C., Pardoux E., Gagez A.-L., Pers Y.-M., Jorgensen C., Mahjoub T., Apparailly F., TMEM187-IRAK1 Polymorphisms Associated with Rheumatoid Arthritis Susceptibility in Tunisian and French Female Populations: Influence of Geographic Origin, Journal of Immunology Research, 2017, Article ID 4915950, 12 pages, 2017.
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  44. Pavoine S.: A guide through a family of phylogenetic dissimilarity measures among sites. Oikos, In press, (2016).
  45. Pavoine S., Marcon E., Ricotta C.:"Equivalent numbers" for species, phylogenetic, or functional diversity in a nested hierarchy of multiple scales. Methods in Ecology and Evolution. In press. (2016).
  46. Porcher E., Lande R.: Inbreeding depression under mixed outcrossing, self-fertilization and sib-mating. BMC Evolutionary Biology,16:105, (2016).
  47. Ricotta C., de Bello F., Moretti M., Caccianiga M., Cerabolini B.E., Pavoine S.: Measuring the functional redundancy of biological communities: A quantitative guide. Methods in Ecology and Evolution. In press, (2016).
  48. Ricotta C., Podani J., Pavoine S.: A family of functional dissimilarity measures for presence and absence data. Ecology and Evolution. In press, (2016).
  49. Sainudiin R, Thatte B., Véber A., Ancestries of a recombining diploid population. J. Math. Biol., 72:363-408, (2016).
  50. Sainudiin R. et Véber A., A Beta-splitting model for evolutionary trees. R. Soc. open sci., 3:160016, (2016).
  51. Sainudiin R., Welch D., The Transmission Process: A Combinatorial Stochastic Process on Binary Trees over the Contact Network of Hosts in an Epidemic. Journal of Theoretical Biology, (2016).
  52. Sauve A. M. C., Thébault E., Pocock M. J. O., Fontaine C., How plants combine pollination and herbivory networks: patterns and contribution to community stability. Ecology, (2016).
  53. Smadi C., Vatutin V.A., Reduced two-type decomposable critical branching processes with possibly infinite variance. Markov Processes and Related Fields, 21(2): 311-358, (2016).
  54. Trapman P., Ball F., Dhersin J.-S., Tran V.C., Wallinga J., Britton T., Inferring R 0 in emerging epidemics—the effect of common population structure is small Journal of the Royal Society Interface, Vol. 13, 20160288 (2016).
  55. Veron S., Davies T.J., Cadotte M.W., Clergeau P., Pavoine S.: Predicting loss of evolutionary history: where are we? Biological Reviews In press, (2016).
  56. Veron S., Penone C., Clergeau P., Costa G.C., Oliveira B.F., São-Pedro V.A., Pavoine S.: Integrating data-deficient species in analyses of evolutionary history loss. Ecology and Evolution In press, (2016).
  57. Yguel B., Jactel H., Pearse S.I., Moen D., Winter M., Hortal J., Helmus R.M., Kühn I., Pavoine S., Purschke O., Weiher E., Violle C., Ozinga W., Brändle M., Bartish I.: Prinzing A.: The evolutionary legacy of diversification predicts ecosystem function. American Naturalist. In press, (2016).


  1. Bansaye V., Huang C.: Law of large numbers for some Markov chains along non homogeneous genealogies. ESAIM (2015).
  2. Bansaye V. & Méléard S.: Stochastic Models for Structured Populations - Scaling Limits and Long Time Behavior. Springer MBI Series 1.4 (2015)
  3. Bansaye V., Simatos F.: A sufficient condition for tightness of time-inhomogeneous Markov processes. Electronic Journal of Probability. (2015).
  4. Billiard S., Ferrière R., Méléard S., Tran V.C. : Stochastic dynamics of adaptive trait and neutral marker driven by eco-evolutionary feedbacks. J. Math. Biol. 71 (2015), no. 5, 1211-1242.
  5. Calenge C. , Chadoeuf J., Giraud C., Huet S., Julliard R., Monestiez P., Piffady J., Pinaud D., Ruette S.: The spatial distribution of Mustelidae in France. PLoS ONE 10(3).
  6. Champagnat, N., Villemonais, D. Exponential convergence to quasi-stationary distribution and Q-process. Probability Theory and Related Fields, online first, paper version to appear (2015).
  7. Chazottes J.R., Collet P. and Méléard S. : Sharp asymptotics for the quasi-stationary distribution of birth-and-death processes. Probab. Theory Related Fields. Online (2015).
  8. Coron C., A model for Mendelian populations demogenetics. ESAIM: Proc. 51:122-132, (2015).
  9. Clémençon S., Cousien A., Dávila Felipe M., & Tran V.C.: On Computer-Intensive Simulation and Estimation Methods for Rare Event Analysis in Epidemic Models. Statistics in Medicine/, Vol. 34, No. 28, 3696-3713 (2015) lien
  10. Clémençon S., De Arazoza H., Rossi F., & Tran V.C.: A statistical network analysis of the HIV/AIDS epidemics in Cuba. Social Network Analysis and Mining, Vol. 5, Article 58 (2015) lien
  11. Condamine, F., Nagalingum, N.S., Marshall, C.R., Morlon, H. Origin and diversification of living cycads: a cautionary tale on the impact of the branching process prior in Bayesian molecular dating BMC Evolutionary Biology 15:65 (2015).
  12. Coron C.: Slow-fast stochastic diffusion dynamics and quasi-stationary distributions for diploid populations. J. Math. Biol. (2016), Volume 72, Issue 1, pp 171-202.
  13. Costa M., Hauzy C., Loeuille N., Méléard S.: Stochastic eco-evolutionary model of a prey-predator community. J. Math. Biol., Online (2015).
  14. Cousien A., Tran V.C., Jauffret-Roustide M., Dhersin J.S., Deuffic-Butban S., Yazdanpanah Y., Dynamic modelling of HCV transmission among drug users: a methodological review. Journal of Viral Hepatitis, Vol. 22, No. 3, 213-229 (2015).
  15. da Silva T., Albertin W., Dillmann C., Bely M., la Guerche S., Giraud C., Huet S., Sicard D., Masneuf-Pomarede I., de Vienne D., Marullo P.: Hybridization within Saccharomyces Genus Results in Homoeostasis and Phenotypic Novelty in Winemaking Conditions. PloS ONE 10(5)
  16. Fontbona J. & Méléard S.: Non local Lotka-Volterra system with cross-diffusion in an heterogeneous medium, J. Math. Biol. 70 (2015), no. 4, 829-854.
  17. Giraud C., Calenge C., Coron, C., Julliard R.: Capitalizing on opportunistic data for monitoring relative species abundances. Biometrics (Published Online Oct 2015)
  18. Lambert, A., Morlon, H., Etienne, R.S. The reconstructed tree in the lineage-based model of protracted speciation Journal of Mathematical Biology 70: 367-397 (2015).
  19. Leman H., Méléard S., Mirrahimi S. : Influence of a spatial structure on the long time behavior of a competitive Lotka-Volterra type system. Disc. Cont. Dyn. Syst. - B. (2015).
  20. Lewitus, E., Morlon, H. Characterizing and comparing phylogenies from their Laplacian spectrum, Systematic Biology, 2015.
  21. Manceau, M., Lambert, A., Morlon, H. Phylogenies support out-of-equilibrium models of biodiversity Ecology Letters 18: 347-356 (2015).
  22. Martin J., Sabatier Q., Gowan T., Giraud C., Gurarie E., Calleson S., Ortega-Ortiz J., Rycyk A., Koslovsky S., : A quantitative framework for investigating risk of deadly collisions between marine wildlife and boats. To appear in Methods in Ecology and Evolution.
  23. Méléard S., Mirrahimi S.:Singular limits for reaction-diffusion equations with fractional Laplacian and local or nonlocal nonlinearity, Comm. Partial Differential Equations 40 (2015), no. 5, 957-993.
  24. Moen, D.S., Morlon, H., Wiens, J.J. Testing convergence versus history: convergence dominates phenotypic evolution for over 150 million years in frogs. Systematic Biology, (2015).
  25. Morlon, H., O'Connor, T., Bryant, J.A., Charkoudian, L.K., Docherty, K.M., Jones, E., Kembel, S., Green, J.L., Bohannan, B.J.M. The biogeography of putative microbial antibiotic production PloS One 10(6): e0130659 (2015).
  26. Mouquet, N., Lagadeuc, Y., Devictor, V., Doyen, L., Duputié, A., Eveillard, D., Faure, D., Garnier, E., Gimenez, O., Huneman, H., Jabot, F., Jarne, P., Joly, D., Julliard, J., Kéfi, S., Kergoat, G.J., Lavorel S., Le Gall, L., Morlon, H., Pinay, G., Pradel, R., Schurr, F.M., Thuiller, W., Loreau, M. Predictive ecology in a changing world Journal of Applied Ecology 5: 1293-1310, (2015).
  27. Rolland, J., Condamine, F.L., Champak, R.B., Jiguet, F., Morlon, H. Dispersal is a major driver of the latitudinal diversity gradient of Carnivora. Global Ecology and Biogeography 24: 1059-1071 (2015).
  28. Rolland, J., Lavergne, S., Manel, S. (2015). Combining Niche Modelling and Landscape Genetics to Study Local Adaptation: A Novel Approach Illustrated using Alpine Plants. Perspectives in Plant Ecology, Evolution and Systematics. (in press)
  29. Sainudiin R, Thatte B., Véber A. Ancestries of a recombining diploid population. J. Math. Biol., Online First, 2015.
  30. Sauve A., Fontaine C., Thébault E.: Stability of a diamond-shaped module with multiple interaction types. Theoretical Ecology, p.1-11 (2015). lien
  31. Smadi C. : An Eco-Evolutionary approach of Adaptation and Recombination in a large population of varying size. Stochastic Processes and their Applications, 125(5): 2054--2095, (2015), (lien).
  32. Tucker C.M., Cadotte M.W., Carvalho S.B., Davies J., Ferrier S., Fritz S.A., Grenyer R., Helmus M.R., Jin L.S., Mooers A.O., Pavoine S., Purschke O., Redding D.W., Rosauer D.F., Winter M., Mazel F.: A guide to phylogenetic metrics for conservation, community ecology and macroecology. Biological Reviews. In press. , (2015).
  33. Warren, B.H., Simberloff, D., Ricklefs, R.E., Aguilée , R., Condamine, F.L., Gravel, D., Morlon, H., Mouquet, N., Rosindell, J., Casquet, J., Conti, E., Cornuault, J., Fernández-Palacios, J.M., Hengl, T., Norder, S.J., Rijsdijk, K.F., Sanmartín, I., Strasberg, D., Triantis, K., Valente, L.M., Whittaker, R.J., Gillespie, R.G., Emerson, B.C., Thébaud, C. Islands as model systems in ecology and evolution: prospects fifty years after MacArthur-Wilson Ecology Letters 8: 200-216 (2015).


  1. Abu Awad D., Gallina S., Bonamy C., Billiard S.: The Interaction between Selection, Demography and Selfing and How It Affects Population Viability. PLoS ONE 9(1): e86125 (2014).
  2. Bansaye V., Vatutin V.: Random walk with heavy tail and negative drift conditioned by its minimum and final values. Markov Processes and Related Fields (2014).
  3. Champagnat N., Jabin P.E., Méléard S. : Adaptation in a stochastic multi-resources chemostat model. J. Math. Pures Appl. (9) 101 (2014), no. 6, 755-788.92D25 (37N25 60J75 60J80).
  4. Coron C.: Stochastic modeling of density-dependent diploid populations and extinction vortex. Adv. in Appl. Probab. 46:446--477, (2014).
  5. Etienne R.S., Morlon H., Lambert A. (2014) : Estimating the duration of speciation from phylogenies Evolution 68(8): 2430-2440
  6. Fontbona J., Méléard S. : Non local Lotka-Volterra system with cross-diffusion in an heterogeneous medium, J. Math. Biol.. Online (2014).
  7. Galis F., Carrier D.R., van Alphen J., van der Mije S.D., Van Dooren T.J.M., Metz J.A.J., ten Broek C.M.A. : (2014) Fast running restricts evolutionary change of the vertebral column in mammals. PNAS 111(31): 11401-11406. lien
  8. Gupta A., Metz J.A.J., Tran V.C. (2014) A new proof for the convergence of an individual based model to the trait substitution sequence. Acta Applicanda Mathematicae 121(1): 1-27
  9. Huber B., Le Poul Y., Whibley A., Navarro N., Martin A., Baxter S., Shah AB., Gilles B., Wirth T., McMillan OW., & Joron M.: Conservatism and novelty in the genetic architecture of adaptation in Heliconius butterflies. Heredity (accepted)
  10. Le Poul Y., Whibley A., Chouteau M., Prunier F., Llaurens V., & Joron M.; Evolution of dominance mechanisms at a butterfly mimicry supergene. Nature Communications (in press).
  11. Méléard S., Mirrahimi S. : Singular limits for reaction-diffusion equations with fractional Laplacian and local or nonlocal nonlinearity, A paraître dans Comm. in Part. diff. Equat. (2014).
  12. Mirrahimi S., Perthame B., Wakano J.Y.: Direct competition results from strong competition for limited resource. J. Math. Biol. Online first (2014).
  13. Moen D., Morlon H. : From dinosaurs to modern bird diversity - Extending the time-scale of adaptive radiation PLoS Biology 12(5) (2014): e1001854
  14. Moen D., Morlon H : Why does diversification slow down? Trends in Ecology and Evolution 29: 190-197 (2014)
  15. Morlon H. : Phylogenetic approaches for studying diversification Ecology Letters 17: 508-525 (2014)
  16. Morlon H., Kefi S., Martinez N. : Effects of trophic similarity on community composition Ecology Letters (in press)
  17. Richard M.: Splitting trees with neutral mutations at birth. Stochastic Processes and their Applications, (2014), 124(10), 3206-3230.
  18. Rolland J., Condamine F.L., Jiguet F., and Morlon H.: Faster speciation and reduced extinction in the tropics explain the mammalian latitudinal diversity gradient. PloS Biology I12(1): e1001775.
  19. Rolland J., Jiguet F., Jønsson K.A., Condamine F.L., Morlon H. : Settling down of seasonal migrants promotes bird diversification Proceedings of the Royal Society (2014) B 281: 20140473
  20. Sainudiin R., Stadler T., Véber A.: Finding the best resolution for the Kingman-Tajima coalescent: theory and applications. J. Math. Biol. (2014).
  21. Sauve A., Fontaine C., Thébault E: Structure-stability relationships in networks combining mutualistic and antagonistic interactions. Oikos. (2014).


  1. Bansaye V., Boeinghoff C.: Lower large deviations for supercritical branching processes in random environment. Proceedings of Steklov Institute of Mathematics, 3 (2013).
  2. Bansaye V., Boeinghoff C.: Small positive values for supercritical branching processes in random environment. À paraître dans Ann. Inst. H. Poincaré, (2013).
  3. Bansaye V., Méléard S., Véber A.: Les différentes échelles de temps de l'évolution. MATAPLI. Vol. 100 (2013)
  4. Bansaye V., Pardo Millan J.C., Smadi C.: On the extinction of Continuous State Branching Processes with catastrophes. Electronical Journal of Probability, 106, 31p (2013).
  5. Barton N., Etheridge A., Kelleher J., Véber A.: Genetic hitchhiking in spatially extended populations. Theor. Pop. Biol. Online First (2013)
  6. Barton N., Etheridge A., Kelleher J., Véber A.: Inference in two dimensions: allele frequencies versus lengths of shared sequence blocks. Theor. Pop. Biol. Online First (2013)
  7. Barton N.H., Etheridge A.M., Véber A.: Modelling evolution in a spatial continuum. J. Stat. Mechanics. Vol. P01002 (2013)
  8. Berestycki N., Etheridge A.M., Véber A.: Large scale behaviour of the spatial Lambda-Fleming-Viot process. Ann. Inst. H. Poincaré Probab. Statist. 45: 374-401 (2013)
  9. Blein-Nicolas M. , Albertin W., Valot B., Marullo P., Sicard D., Giraud C., Huet S., Bourgais A., Dillmann C., de Vienne D., Zivy M.: Yeast Proteome Variations Reveal Different Adaptive Responses to Grape Must Fermentation. Mol Biol Evol. 2013 Jun;30(6):1368-83
  10. Collet P., Martinez S., Méléard S., San Martín J: Stochastic models for a chemostat and long time behavior. Adv. Appl. Probab. (2013)
  11. Collet P., Méléard S., Metz J.A.J.: A rigorous model study of adaptive dynamics for Mendelian diploids. J. Math. Biol., 67(3): 569-607. (2013).
  12. Condamine F., Rolland J., Morlon H.: Macroevolutionary perspectives to environmental change. Ecology Letters. Online (2013).
  13. Coron C., Méléard S., Porcher E., Robert A.: Quantifying the mutational meltdown in diploid populations. American Naturalist. 181(5): 623-636 (2013).
  14. de Roos A.M., Metz J.A.J., Persson L.: (2013) Ontogenetic symmetry and asymmetry in energetics. J. Math. Biol. 66(4-5): 889-914 (DOI 10.1007/s00285-012-0583-0)
  15. Delmas J.F. and Hénard O.: A Williams' decomposition for spatially dependent superprocesses. Elect. Journ. of Probab., 18(37): 1-43, (2013) (doi:10.1214/EJP.v18-1801).
  16. Giraud C., Julliard R., Porcher E.: Delimiting synchronous populations from monitoring data. Environmental and Ecological Statistics, Vol. 20 (2013), no 3, pp. 337--352.
  17. Jones R.T., Poul Y., Whibley A., Mérot C., Joron M.: Wing shape variation associated with mimicry in butterflies. Evolution, 67(8), 2323-2334 (2013).
  18. Joost S., Vuilleumier S., Jensen J.D., Schoville S., Leempoel K., Stucki S., Widmer I., Melodelima C., Rolland J., Manel S.: Uncovering the genetic basis of adaptive change: on the intersection of landscape genomics and theoretical population genetics. Molecular Ecology. 22, 3659-3665 (2013).
  19. Lafitte-Godillon P., Raschel K., Tran V.C.: Extinction probabilities for a distylous plant population modeled by an inhomogeneous random walk on the positive quadrant. SIAM Journal on Applied Mathematics (SIAP), 73(2): 700-722 (2013).
  20. Méléard S., Roelly S. : Evolutive two-level population process and large population approximations. Ann. Univ. Buchar. Math. Ser. 4(LXII) (2013), no. 1, 37-70.
  21. Metz J.A.J. (2013) On the concept of individual in ecology and evolution. J Math Biol 66(4-5): 635-647 DOI 10.1007/s00285-012-0610-1
  22. Metz J.A.J., de Kovel C.G.F. (2013) The canonical equation of adaptive dynamics for Mendelian diploids and haplo-diploids. Interface Focus 3: 20130025
  23. Metz J.A.J., Tran V.C.: Daphnias: from the individual based model to the large population equation. Journal of Mathematical Biology, special issue in honor of Odo Diekmann, Vol. 66, No. 4-5, 915-933 (2013).
  24. Mirrahimi S., Perthame B., Wakano J.Y.: Evolution of species trait through resource competition. J. Math. Biol. Online first (2013).
  25. Mirrahimi S., Raoul G.: Population structured by a space variable and a phenotypical trait. Theor. Pop. Biol. 84: 87-103 (2013).
  26. Richard M.: Lévy processes conditioned on having a large height process. Ann. Instit. H. Poincaré, (2013), 49(4),982-1013.
  27. Rueffler C., Metz J.A.J.: (2013) Necessary and sufficient conditions for R0 to be a sum of contributions of fertility loops. J. Math. Biol. 66(4-5): 635-647 DOI 10.1007/s00285-012-0575-0
  28. Rueffler C., Van Dooren T.J.M. & Metz J.A.J. (2013) What life cycle graphs can tell about the evolution of life histories. J. Math. Biol. 66 (1):225-279 DOI 10.1007s00285-012-0509-x
  29. Véber A., Wakolbinger A.: The spatial Lambda-Fleming-Viot process: an event-based construction and a lookdown representation. À paraître dans Ann. Instit. H. Poincaré.


  1. Billiard S., Tran V.C.: A general stochastic model for sporophytic self-incompatibility. J. Math. Biol. 64:163-210 (2012).
  2. Blein-Nicolas M., Xu H., de Vienne D., Giraud C., Huet S., Zivy M.: Including shared peptides for estimating protein abundances: a significant improvement for quantitative proteomics. Proteomics 12(18):2797-2801 (2012).
  3. Bouin E., Calvez V., Meunier N., Mirrahimi S., Perthame B., Raoul G., Voituriez R.: Invasion fronts with variable motility: phenotype selection, spatial sorting and wave acceleration, Comptes rendus Mathematiques 350:761-766 (2012).
  4. Dornelas M., Magurran A., Buckland S.T., Chao A., Chazdon R.L., Colwell R.K., Curtis T., Gaston K.J., Gotelli N.J., Kosnik M., McGill B., McCune J.L., Morlon H., Mumby P.J., Ovreås L., Studeny A., Vellend M.: Quantifying temporal change in biodiversity: challenges and opportunities. Proc. of the Roy. Soc. B. (2012).
  5. Etheridge A.M., Véber A.: The spatial Lambda-Fleming-Viot process on a large torus: genealogies in the presence of recombination. Ann. Appl. Probab. 22:2165-2209 (2012).
  6. Jourdain B., Méléard S., Woyczynski W.: Lévy flights in evolutionary ecology. J. Math. Biol. 65(4):677-707 (2012).
  7. Méléard S., Tran V.C.: Slow and fast scales for superprocess limits of age-structured populations. Stoc. Proc. Appl. 122:250-276 (2012).
  8. Méléard S., Tran V.C.: Nonlinear historical superprocess approximations for population models with past dependence, Electronic Journal of Probability, 17(47):1-32 (2012).
  9. Méléard S., Villemonais D.: Quasi-stationary distributions and population processes. Probab. Surv. 9:340-410 (2012).
  10. Mirrahimi S.: Adaptation and migration of a population between patches, Discrete and Continuous Dynamical System 18(3):753-768 (2012).
  11. Mirrahimi S., Souganidis P.E.: A homogenization approach for the motion of motor proteins. NoDEA 20(1): 129-147 (2012).
  12. Morlon H.: Microbial cooperative warfare. Science 337: 1184-1185 (2012).
  13. Morlon H., Kemps B., Plotkin J.B., Brisson D.: Explosive radiation of a bacterial species group Evolution 66: 2577-2586 (2012).
  14. Pavard S., Branger F.: Effect of maternal and grandmaternal care on population dynamics and human life-history evolution: A matrix projection model. Theoret. Pop. Biol. (2012).


  1. Bansaye V., Boeinghoff C.: Upper large deviations for Branching Processes in Random Environment with heavy tails. Electron. J. Probab. 16:1900-1933 (2011).
  2. Bansaye V., Delmas J.F., Marsalle L., Tran V.C.: Limit theorems for Markov processes indexed by continuous time Galton-Watson trees. Ann. of App. Probab. 21:2263-2314 (2011).
  3. Bansaye V., Dombry C., Mazza C.: Phenotypic diversity and population growth in fluctuating environment: a MBPRE approach. Adv. in Appl. Probab. 43(2):375-398 (2011).
  4. Bansaye V., Tran V.C.: Branching Feller diffusion for cell division with parasite infection. ALEA Lat. Am. J. Probab. Math. Stat. 8:95-127 (2011).
  5. Champagnat N., Méléard, S.: Polymorphic evolution sequence and evolutionary branching. Probab. Theory Related Fields, 151(1):45-94 (2011).
  6. Colle, P., Martinez S., Méléard S., San Martin J.: Quasi-stationarity distributions for structured birth and death process with mutations. Probab. Th. Rel. Fields, 151(1):191-231 (2011).
  7. Decreusefond L., Dhersin J.S., Moyal, P., Tran, V.C.: Large graph limit for a SIR process in random network with heterogeneous connectivity, Ann. of Appl. Probab. 22(2):541-575 (2011).
  8. Fontaine C., Guimarães P.R., Kéfi S., Loeuille N., Memmott J., Van Der Putten W.H., Thébault E.: The ecological and evolutionary implications of merging different types of networks. Ecol. Lett., 14:1170-1181 (2011).
  9. Gyllenberg M., Metz J.A.J., Service R.: When do optimisation arguments make evolutionary sense? Chapitre du livre ''The Mathematics of Darwin's Legacy'', Mathematics and Biosciences in Interaction. J.F. Rodrigues and F. Chalub editors, Birkhäuser Basel, pp. 235-269 (2011).
  10. Huillet T.: On the Karlin-Kimura approaches to the Wright-Fisher diffusion with fluctuating selection. J. Stat. Mech. Th. and Exp., P02016.
  11. Huillet T.: Nonconservative diffusions on [0,1] with killing and branching. Applications to Wright-Fisher models with or without selection. Internat. J. Stoch. Analysis, Article ID 605068.
  12. Huillet T., Martinez S.: Duality and Intertwining for discrete Markov kernels: relations and examples. Adv. Appl. Probab., 43:437-460 (2011).
  13. Huillet T., Moehle M.: On the extended Moran model and its relation to coalescents with multiple collisions. Theor. Pop. Biol., Online first.
  14. Jesse M., Mazucco R., Metz J.A.J., Diekmann U., Heesterbeek J.A.P.: How to calculate a threshold for infectious diseases in a metapopulation. Plos one, 66:e2406 (2011).
  15. Lorz A., Mirrahimi S., Perthame B.: Dirac mass dynamics in multidimensional nonlocal parabolic equations. Comm. in PDEs, 36:1071-1098 (2011).
  16. Méléard S.: Random Modeling of Adaptive Dynamics and Evolutionary Branching. Chapitre du livre ''The Mathematics of Darwin's Legacy'', Mathematics and Biosciences in Interaction. J. F. Rodrigues and F. Chalub editors, Birkhäuser Basel, pp. 175-192 (2011).
  17. Méléard S., Metz J.A.J., Tran V.C.: Limiting Feller diffusions for logistic populations with age-structure, 58th World Statistics Congress of the International Statistical Institute, Dublin Ireland (2011).
  18. Metz J.A.J.: Thoughts on the geometry of meso-evolution: collecting mathematical elements for a postmodern synthesis. In: Chalub, F.A. and Rodrigues, J.F. eds. The Mathematics of Darwin's Legacy. Basel: Birkhauser, pp. 193-231 (2011).
  19. Metz J.A.J., Leimar O.: A simple fitness proxy for ESS calculations in structured populations with continuous traits, with applications to the evolution of haplo-diploids and genetic dimorphisms. J. Biol. Dyn. 5(2):163-190 (2011).
  20. Mirrahimi S., Perthame B., Bouin E., Millien P.: Population formulation of adaptative evolution ; theory and numerics. Chapitre du livre "The Mathematics of Darwin's Legacy?", Mathematics and Biosciences in Interaction. J. F. Rodrigues and F. Chalub editors, Birkhäuser Basel, pp. 159-174 (2011).
  21. Morlon H., Parsons T.L., Plotkin J.: Reconciling molecular phylogenies with the fossil record. PNAS 108:16327-16332 (2011).
  22. Rolland J., Cadotte M.W., Davies J., Devictor, V., Lavergne, S., Mouquet, N., Pavoine, S., Rodrigues, A., Thuiller, W., Turcati, L., Winter, M., Zupan L., Jabot F., Morlon H.: Using phylogenies in conservation: new perspectives Biology Letters 8: 692-694 (2011).
  23. Van den Berg F., Bacaer N., Metz J.A.J., Lannou, C., Van Den Bosch, F.: Periodic host absence can select for higher or lower parasite transmission rates. Evol. Ecol. 25(1):121-137 (2011).
  24. Villemonais D.: Interacting particle systems and Yaglom limit approximation of diffusions with unbounded drift. Electron. J. Probab, 16:1663-1692 (2011).


  1. Barton N.H., Etheridge A.M., Véber A.: A new model for evolution in a spatial continuum. Electron. J. Probab., 15:162-216 (2010).
  2. Cattiaux P., Méléard S.: Competitive or weak cooperative stochastic Lotka-Volterra systems conditioned on non-extinction. J. Math. Biology 6:797-829 (2010).
  3. Diekmann O., Gyllenberg M., Metz J.A.J., Nakaoka, S., De Roos, A.M.: Daphnia revisited: local stability and bifurcation theory for physiologically structured population models explained by way of an example. J. Math Biol. 61:277-318 (2010).
  4. Diekmann O., Metz J.A.J.: How to lift a model for individual behaviour to the population level? Phil Trans. Roy. Soc. London B. 365(1557):3523-3530 (2010).
  5. Fontbona J., Guérin H., Méléard S.: Measurability of optimal transportation and strong coupling of martingale measures. Electron. Commun. Probab. 15:124-133 (2010)


  1. Méléard S.: Introduction to stochastic models for evolution. Markov Process. Related Fields 15 (2009), no. 3, pp.259-264.